Package: DSWE 1.8.2
Yu Ding
DSWE: Data Science for Wind Energy
Data science methods used in wind energy applications. Current functionalities include creating a multi-dimensional power curve model, performing power curve function comparison, covariate matching, and energy decomposition. Relevant works for the developed functions are: funGP() - Prakash et al. (2022) <doi:10.1080/00401706.2021.1905073>, AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>, tempGP() - Prakash et al. (2022) <doi:10.1080/00401706.2022.2069158>, ComparePCurve() - Ding et al. (2021) <doi:10.1016/j.renene.2021.02.136>, deltaEnergy() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, syncSize() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, imptPower() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, All other functions - Ding (2019, ISBN:9780429956508).
Authors:
DSWE_1.8.2.tar.gz
DSWE_1.8.2.tar.gz(r-4.5-noble)DSWE_1.8.2.tar.gz(r-4.4-noble)
DSWE_1.8.2.tgz(r-4.4-emscripten)DSWE_1.8.2.tgz(r-4.3-emscripten)
DSWE.pdf |DSWE.html✨
DSWE/json (API)
| # Install 'DSWE' in R: |
| install.packages('DSWE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tamu-aml/dswe-package/issues
Last updated 11 months agofrom:a138270529. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 14 2024 |
| R-4.5-linux-x86_64 | OK | Dec 14 2024 |
Exports:AMKComparePCurveComputeWeightedDifferenceCovMatchdeltaEnergyfunGPimptPowerKnnPCFitKnnPredictKnnUpdateSplinePCFitSvmPCFitsyncSizetempGPupdateDataXgbPCFit
Dependencies:askpassbase64encbslibcachemclassclicolorspacecpp11crosstalkcurldata.tabledigestdplyre1071evaluatefansifarverfastmapFNNfontawesomefsgenericsggplot2gluegssgtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemixtoolsmunsellnlmeopensslpillarpkgconfigplotlypromisesproxypurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownsassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxgboostyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Additive Multiplicative Kernel Regression | AMK |
| Power curve comparison | ComparePCurve |
| Percentage weighted difference between power curves | ComputeWeightedDifference |
| Covariate Matching | CovMatch |
| Wind Energy data set containing 47,542 data points | data1 |
| Wind Energy data set containing 48,068 data points | data2 |
| Energy decomposition for wind turbine performance comparison | deltaEnergy |
| Function comparison using Gaussian Process and Hypothesis testing | funGP |
| Power imputation | imptPower |
| KNN : Fit | KnnPCFit |
| KNN : Predict | KnnPredict |
| KNN : Update | KnnUpdate |
| predict from temporal Gaussian process | predict.tempGP |
| Smoothing spline Anova method | SplinePCFit |
| SVM based power curve modelling | SvmPCFit |
| Data synchronization | syncSize |
| temporal Gaussian process | tempGP |
| Updating data in a model | updateData |
| Update the data in a tempGP object | updateData.tempGP |
| xgboost based power curve modelling | XgbPCFit |
